An investigation on the application of diagnostic analytics to ascertain the cause of the pandemic’s infection spike
Abstract
Tracking all of the COVID-19 subvariants proved difficult due to the virus’s rapid dissemination throughout the pandemic. Initially, many million individuals worldwide perished as a result of the World Health Organization’s inability to monitor various COVID-19 instances. Finding the underlying reason for the pandemic’s spike in infections is the aim of this investigation, which will include diagnostic analysis. The outcomes of applying diagnostic analytics are also emphasized. While the results are important, the focus is primarily on the event’s deficiencies and how diagnostic analytics may help decision-makers identify the shortcomings of their previous decisions so they can make better ones moving forward. This study uses basic statistical techniques to examine the connection between variables as well as observational judgements drawn from charts. The results of this investigation confirm the value of diagnostic analytics in combating the COVID-19 pandemic and its function in aiding decision-makers in managing the infection wave.
Copyright © 2024 C. J. Santosh, Anurag Shakya. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article
C. J. Santosh, A. Shakya, An investigation on the application of diagnostic analytics to ascertain the cause of the pandemic’s infection spike, J. Math. Comput. Sci. 14 (2024), 4. https://doi.org/10.28919/jmcs/8301
BibTeX
@article{Santosh2024,
author = {Santosh, C. J. and Shakya, Anurag},
title = {An investigation on the application of diagnostic analytics to ascertain the cause of the pandemic’s infection spike},
journal = {J. Math. Comput. Sci.},
volume = {14},
year = {2024},
pages = {4},
doi = {10.28919/jmcs/8301}
}